As mission operations grow in scale and complexity, there is a prevailing need for automating operational processes to increase efficiency, mitigate risks, and reduce operational costs. The need for automating operational processes has produced a few disparate automation systems within the Advanced Multi Mission Operations System (AMMOS). Without a common solution for process management and automation, each AMMOS subsystem that requires a workflow capability will need to develop its own expertise in the workflow domain as independent systems are developed. This can lead to many incompatible implementations that functionally do similar things. The Common Workflow Service (CWS) attempts to address this issue to avoid independent ad hoc workflow implementations.

There is a need to calculate the radiative heating rate at the surface of a vehicle entering any atmosphere, (e.g., Earth, Saturn, Titan, Mars, Venus etc). NEQAIR simulates the actual chemical and physical actions and reactions of the gaseous species in high-temperature shock layers. NEQAIR has been NASA’s main radiation code for the past 30 years. It is a line-by-line radiation code that computes spontaneous emission, absorption, and stimulated emission due to transitions between various energy states of chemical species along a line of sight. There have recently been substantial updates to the physics in the code and the computational efficiency in NEQAIR; v14.0 is the first parallelized version that has resulted in calculations speeding up by a factor of approximately 30×.

This application serves as Web-based management of the Systems Engi - neering Education and Development (SEED) program, and enables the SEED Program Manager to track and manage the applications and assignments. In the past, the handling of the applications and assignments was cumbersome due to a manual process with paper copies of competencies and applicant data. The new system enables the automation of the entire process to streamline determination of both the viability of the applicants and the effectiveness of the program on the participants through the course of their time in the program.

Many software applications have scripting needs including those based on the Goddard Mission Services Evolution Center (GMSEC) framework. In GMSEC, a user may want to automate the actions to take when a sequence of events occurs. Ideally, the scripting solution should allow the use of a familiar programming language and avoid unnecessary constraints. The existing GMSEC Criteria Action Table (CAT) is limited in these respects.

This tool provides fast, efficient, and effective diagnostic assessment reports.An assessment of a system’s safety requirements is required early in the design process when cost and time impacts are minimal. These requirements include fault detection, failure isolation, and failure recovery. Systems engineering groups at NASA have been exploring model-based products to better support verification of these safety requirements. One such product involves qualitative failure propagation modeling as a means to achieve early assessment of the system prior to the availability of higher fidelity information. These early development products lack the advanced reporting and analysis capabilities required to address the needs of system designers and domain experts. Therefore, post-processing tools need to be developed to support the interrogation of the model, and the structured reporting required by system engineers.

PyTMatrix is a Python interface to a T-matrix numerical scattering computation code originally developed at NASA GISS (Goddard Institute for Space Studies). It integrates into the NumPy/SciPy scientific framework. The software provides streamlined access to numerical T-matrix computations directly from the Python programming language. It retains the original numerical core written in Fortran 77, thus combining the flexibility of Python and the numerical performance of Fortran. It also provides tools for post-processing the output by integrating over various particle size and orientation distributions.

The program uses a standard Web browser to allow for visualization of an entire organization down to individual rooms.NASA’s Langley Research Center has developed a space-allocation and planning software system to allow for more effective and efficient facility usage. It also provides a customizable strategy for organizing personnel and project teams to maximize productivity and synergies among employees. Cost-reduction solutions are suggested based on organizational input constraints related to the facility. The program uses a standard Web browser to allow for visualization of an entire organization down to individual rooms. The planning tool is based on algorithms that were developed using ArcGIS software and Visual Basic codes, which enable evaluation of different space-management scenarios in real time.

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